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Global Navigation Satellite System (GNSS) serves as a critical tool for both military and civilian operations worldwide. However, its limitations in certain operational environments and vulnerability to interference or jamming have become increasingly apparent in recent years. Quantum technology has emerged as a crucial enabler of alternative solutions. In this presentation, our focus will be on the magnetic aided inertial navigation system (MAINS), which has shown promise as a navigation alternative in GNSS-denied environments. MAINS leverages anomalies in the Earth’s magnetic field, often referred to as magnetic anomaly maps, to assist inertial navigation systems and correct drift. In general, optically pumped magnetometers (OPMs) in combination with classical vector sensors are employed to measure the magnetic field. OPMs collect precise and accurate measurements of the magnetic field intensity, while vector sensors provide information on its direction. This directional information is crucial for successfully estimating and removing the platform’s own magnetic field. Additionally, to minimize the magnetic influence of the navigation platform, these sensors should be situated as far as possible from the platform itself, such as on a stinger behind the aircraft. However, integrating these sensors into smaller platforms like drones presents significant challenges, particularly in mitigating the platform’s own magnetic interference, which may overshadow magnetic anomalies. In this paper, we will discuss the challenges associated with using quantum sensors for drone navigation and explore noise compensation algorithms. Additionally, we will share the results of our measurement campaign conducted on a fixed-wing drone. Lastly, we will examine how NV magnetometers could potentially improve noise compensation algorithms by employing more accurate vector measurements.
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